How to Use the The Odds API MCP in Vercel AI SDK
Stream real-time sports odds and scores directly into your frontend using Vercel AI SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect The Odds API MCP to Vercel AI SDK
Create your Vinkius account to connect The Odds API to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Gemini
Key Capabilities
Get specific betting odds for any sport
Need to know the current predicted outcome? You call `get_odds()` and it sends back real-time data from multiple bookmakers. This lets your app display complex probability lines without hitting a loading spinner. Your Vercel AI SDK client receives this structured result, letting you stream the odds data directly into the UI. It’s perfect for building dynamic betting dashboards that feel instantaneous.
Track live and past game results
The `get_scores()` tool gives your application a complete picture of play-by-play action, whether it's a half-time score or the final tally. This is essential for any user-facing product that tracks ongoing games. You can feed these live scores directly into your UI stream using the SDK. The end user sees the score update instantly as the AI agent processes the result, making the experience feel super smooth.
Discover all available sports categories
Before you can show odds or scores, you gotta list what's available. Use `list_sports()` to pull a clean manifest of every sport we cover—from NFL to NBA. This metadata call is ideal for initializing your app’s navigation menu or category filters. It ensures that when the user selects 'Basketball,' your agent knows exactly which data streams to open.
Set up The Odds API MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all The Odds API tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 4
Works with any model provider
Swap
openai("gpt-4o")for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
const transport = new StreamableHTTPClientTransport(
new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);
const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "List recent The Odds API transactions",
});
console.log(text);
await mcpClient.close();Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by The Odds API. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about The Odds API MCP in Vercel AI SDK
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